On June 18, 2026, AI and semiconductors became the protagonists on the same screen for global traders: Wedbush raised Micron's target price, deeply tied to AI high-bandwidth memory, from $550 to $1,300, a nominal adjustment of about 136%; in the Hong Kong market, the 2x leveraged SK Hynix ETF, launched in October 2025, saw its asset scale surge to about $13 billion, accounting for about 13% of the total local ETF scale, and it became the second largest among approximately 250 ETFs, hailed by Bloomberg analysts as one of the fastest-growing ETFs in Asia's history; in the primary market, Israeli AI security company Dream completed a $260 million financing round, raising its valuation to $3 billion, with claims that its valuation had nearly tripled in just over a year, while AI inference service provider Baseten was negotiating around $1.5 billion in financing, offering a dual valuation structure of about $11 billion and $13 billion. In pre-market trading, AI concept stocks like Marvell, Micron, Broadcom, and AMD all rose, while Arista Networks went against the trend and fell, indicating visible differentiation within the sector. Whether it was the extremely raised target prices, the massive ETF leveraging AI chip volatility, or billion-dollar AI infrastructure financing, this series of events points to the same main line: the valuation of the AI and semiconductor industry chain is systematically elevated, becoming a new anchor for global risk capital. So, when AI assets start to attract global risk appetite like a magnet, will BTC and ETH, previously viewed as high-beta risk assets, undergo a new risk premium re-evaluation, or will they be forced to cede part of the capital and story space in this round of "AI feast"?

Micron's Soaring Target Price Ignites Chip Frenzy

This round of valuation re-evaluation has been pushed to the extreme with Micron. Wedbush directly raised Micron Technology's target price from $550 to $1,300, a nominal adjustment of about 136%, far exceeding the current share price range, marking not merely a fine-tuning of "reasonable value," but a redefinition of the price range for the entire AI storage chip track. As a global storage giant deeply involved in the AI high-bandwidth memory supply chain, Micron's leap in target price essentially signals to the market: as long as demand for AI computing power continues to expand, storage and HBM will be seen as new "profit hubs," capable of bearing higher profit expectations and thicker valuation premiums.

The same main line has been amplified in the Hong Kong 2x leveraged SK Hynix ETF as a financial behavior. Since its launch in October 2025, this ETF's asset scale has rapidly expanded to about $13 billion, accounting for about 13% of the total local ETF size, ranking second among approximately 250 ETFs, and is recognized by Bloomberg analysts as one of the fastest-growing ETFs in Asian history and the fourth-fastest globally. As a product that magnifies the volatility of its underlying assets with 2x leverage, it effectively turns the bet on AI storage and HBM positions into a new core asset. From the perspective of macro risk factors, when AI storage and HBM are systematically raised in valuation, the weight of technology stocks in global portfolios is naturally increased, and the overall risk tolerance is rewritten; historical experience shows that during phases of wide liquidity and technology stocks leading, the Nasdaq and semiconductor indexes have often shown a positive correlation with BTC and ETH, which means that the current rise in risk appetite driven by Micron's target price and AI storage enthusiasm not only does not diminish the story space for high-beta assets but actually provides a layer of macro-level risk endorsement for BTC and ETH, making them easier to regard as an amplified exposure to the same "technology risk factor."

Dream and Baseten Boost AI Infrastructure Valuation

If the target price increases for chip stocks rewrite the valuation curve of the secondary market, then Dream and Baseten have brought this rewrite to the more concealed, higher-leverage primary market. Israeli AI security company Dream has seen its valuation nearly triple in just over a year, raising $260 million in its latest round, pushing its book value to $3 billion; almost simultaneously, AI inference service provider Baseten is negotiating about $1.5 billion in financing, but has presented two valuation structures at about $11 billion and $13 billion—recognition of the long-term "infrastructure moat" versus the short-term execution risk diverges among investors and is captured in the same Term Sheet. This is not an isolated case but a microcosm of the entire AI infrastructure track (security, inference, computing services) entering historically high valuation ranges by 2026.

When the primary market trades at such prices, the secondary market is forced to treat these figures as "anchors": the acceptable price-to-earnings ratio ceiling for associated listed companies and thematic ETFs is raised, the risk premium of the overall AI sector is lowered, and the "expensive" nature of technology growth assets begins to make sense. For the crypto world, this anchoring effect parallels historical rounds of "Web3 infrastructure" and "public chain financing boom"—when venture capital collectively increases positions on a new infrastructure narrative, the target return for the entire global portfolio is adjusted upward, and on-chain funds are driven to chase higher beta and higher elasticity stories: some capital may be drawn away by AI stocks and related ETFs, while another portion sees BTC and ETH as amplifiers of the same technology risk factor, willing to continue betting under increased price volatility, leading to BTC and ETH entering into a new game of risk premium amidst competition and resonance with AI assets.

AI Bull Market Spillover: How Nasdaq Premium Transmits to BTC

In pre-market trading on June 18, Marvell, Micron, Broadcom, and AMD all showed strength, while Arista Networks, also in network infrastructure, fell (according to a single source, MSX.COM). The signals conveyed by the market are not generalized bubbles but rather a precise re-pricing of "who is the real AI infrastructure." The Nasdaq and Philadelphia semiconductor indexes, during this structural leadership, are re-assigned premiums, and the overall discount rate for growth stocks is lowered. What global portfolio managers see is not just a rise in a few individual stocks but a whole set of "technology + high volatility assets" risk factors being elevated in weight.

Historical experience shows that once the Nasdaq and semiconductor indexes achieve valuation premiums, BTC and ETH are automatically categorized by many institutions into the high-beta end of the same risk spectrum: the stronger technology stocks rise, the tighter the positions on "growth factors" in risk models become. While increasing allocations to AI chip stocks and Nasdaq component stocks, some multi-asset funds will use futures, options, or spot positions to increase their investments in BTC and ETH, magnifying returns on the same risk factor, while some may be forced to reduce crypto positions to make way for AI due to limited risk budgets. In this tug-of-war, the strength of AI assets is not merely a simple "blood-sucking" or "positive" narrative but repositions BTC and ETH at the high-leverage end of global technology risk factors, making them more reliant on the direction of Nasdaq and semiconductor indexes to achieve premiums or bear penalties.

Funds Chasing New Chips in the On-chain AI Narrative

When Micron's target price is directly raised from $550 to $1,300, and when the Hong Kong 2x leveraged SK Hynix ETF swells to about 13% of the local ETF total within a short period, on-chain traders have already understood the script: the main line of traditional market AI and semiconductors will be replicated in the crypto world into tokenized projects of "GPU," "computing power," and "inference services." In the past, when DeFi, NFTs, and the metaverse erupted, funds would seek out high-elasticity targets beyond mainstream coins; now, the same behavioral pattern is re-enacted, only with a story change to AI. Any small-cap coin able to package itself as an "on-chain graphics card" or "AI inference infrastructure" is waiting for a valuation experiment of secondary speculation, with high valuations held by primary market projects like Dream and Baseten becoming a reference for storytelling on-chain.

This narrative replication not only creates several new codes on the market but substantially alters the liquidity landscape on-chain. Some funds originally using BTC and ETH to hedge or amplify technology risk factors will withdraw some positions, shifting towards AI-themed tokens, treating these small-cap coins as "AI story proxies"; as a result, the depth of mainstream coins' spot and perpetual contracts has been quietly hollowed out, with volatility being transferred to narrower, thinner thematic pools. The Hong Kong 2x SK Hynix ETF's approach to leverage in amplifying AI chip exposure corresponds on-chain to using high-leverage perpetual contracts layered with AI concept tokens—when this macro context of valuation elevation persists, funds are more willing to use such high-volatility chips to tell stories, and the systemic volatility of the entire crypto market is thereby raised, transferring a sentiment pulse originally belonging to the Nasdaq and semiconductor indexes into a more fragile on-chain leverage structure.

Leveraged ETFs and the Crypto Carnage When Bubbles Burst

This 2x leveraged SK Hynix ETF in Hong Kong has stacked its scale to about $13 billion in just a few quarters, accounting for about 13% of the local ETF total, ranking second among approximately 250 ETFs, and is acknowledged by Bloomberg analysts as "one of the fastest-growing ETFs in Asian history and the fourth-fastest growing globally." This means that a very thick leverage shell has been added above the bullish structure of AI chips: every time the underlying asset moves by 1 unit, the impact transmitted to the net value of terminal funds through 2x leverage and daily rebalance is magnified, and with so much new capital flooding into a single AI narrative, it essentially adds more load to the same weak beam.

The problem is, once the valuations for AI and semiconductors switch from "re-evaluation" to "de-bubble," this layer of leverage can turn into a scissor. Leveraged ETFs must passively cut positions or rebalance during significant corrections in the underlying assets, selling spot or futures to tighten exposure, amplifying short-term volatility and liquidity shocks in the spot market; cross-asset portfolios holding such products will also synchronously reduce positions in other risk assets to cope with net value drawdowns and margin pressure. Historical experience shows that the Nasdaq, semiconductor index, and BTC/ETH have maintained a certain degree of positive correlation across multiple cycles; when technology and growth stocks enter a devaluation stage, these high-beta assets in crypto are often thrown together into the "de-leverage basket": not because the on-chain narrative has problems, but rather because the overall risk premium is adjusted upward, and capital contracts risk asset positions on a global level. For BTC and ETH, in this scenario, the destruction often arises not from active bearishness, but from passive selling triggered by the leverage structure of AI chips and the re-pricing of risk premiums, ultimately imposing additional price volatility costs on them as they bear the brunt in the tail end of others' bubble bursts.

The Next Act of the AI Craze and Crypto Risk Premium

The synchronized elevation of AI and semiconductor assets in primary and secondary markets in this round in 2026 has already outlined the next act: from Wedbush pushing Micron's target price directly from $550 to $1,300, to the Hong Kong 2x leveraged SK Hynix ETF swelling to about $13 billion in less than two years, accounting for about 13% of the local ETF total, and to Dream securing a $3 billion valuation financing, with Baseten discussing a "dual valuation" between $11 billion and $13 billion, AI infrastructure is systematically re-evaluated, and global risk appetite is elevated overall; this wave of risk factors naturally spills over to high-beta assets like BTC and ETH. The question is, as AI valuations continue to rise and risk premiums are compressed, the rise in leveraged ETFs and concentration is also accumulating tail risks—once the AI sector shifts from valuation expansion to valuation contraction, encrypted assets will often not be overlooked in the "de-leverage basket"; at that time, BTC and ETH will both benefit from AI risk appetite and serve as volatility amplifiers during cross-asset reductions. For crypto traders, the next step is to closely monitor net subscriptions and redemptions of Hong Kong AI-themed and 2x leveraged semiconductor ETFs, whether key AI chip companies like Micron can deliver results that match the current target prices, the pacing of valuation elevations in the primary markets for Dream and Baseten, and the dynamic changes in correlations between BTC, ETH, and the Nasdaq and semiconductor indexes—these variables will together determine whether the AI craze continues to suppress crypto risk premiums or amplifies their pullback in the next round of cross-asset linkage.

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